Uncertainty in Artificial Intelligence
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Evaluation of Uncertain Inference Models III: The Role of Tuning
Ben Wise, Bruce Perrin, David Vaughan, Robert Yadrick
This study examined the effects of "tuning" the parameters of the incremental function of MYCIN, the independent function of PROSPECTOR, a probability model that assumes independence, and a simple additive linear equation. me parameters of each of these models were optimized to provide solutions which most nearly approximated those from a full probability model for a large set of simple networks. Surprisingly, MYCIN, PROSPECTOR, and the linear equation performed equivalently; the independence model was clearly more accurate on the networks studied.
Keywords: MYCIN, PROSPECTOR, Independence Model, Tuning
Pages: 55-62
PS Link:
PDF Link: /papers/87/p55-wise.pdf
AUTHOR = "Ben Wise and Bruce Perrin and David Vaughan and Robert Yadrick",
TITLE = "Evaluation of Uncertain Inference Models III: The Role of Tuning",
BOOKTITLE = "Uncertainty in Artificial Intelligence 3 Annual Conference on Uncertainty in Artificial Intelligence (UAI-87)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1987",
PAGES = "55--62"

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